- Clear ownership, not decision by consensus
- First principles over inherited patterns
- Shipping systems, not slide decks
- Fast feedback from reality, not opinions
- Lead sessions with customer SAP teams to map the landscape: ECC or S/4HANA (on-prem, RISE, private cloud), instances and clients, middleware (PI/PO, Integration Suite/CPI, BTP), and existing extraction tools.
- Work out how each customer has configured and customized the objects we depend on: materials, BOMs, purchase and sales orders, deliveries, inventory, MRP, vendors, customers.
- Produce artifacts people use: landscape diagrams, object and field mappings, volume and change-frequency profiles, open-risk logs.
- Choose the right extraction pattern per customer from the full toolbox: ODP/ODQ, SLT, CDS views, OData, IDocs, BAPIs/RFCs, Datasphere and Business Data Cloud, third-party tools, file or event-driven.
- Design write-backs (POs, stock transport orders, allocations) with real attention to authorization, principal propagation, error handling, idempotency, and auditability.
- Weigh each option against the customer's licensing, SAP's API and extraction policies, security requirements, and their IT team's preferences, then drive to a design both sides sign off on.
- Work with our engineers on how SAP data lands in Snowflake, Databricks, or Fabric and maps into our data model.
- Define the work needed inside customer systems: custom CDS views, function modules, BAdIs, iFlows, authorization roles.
- Source and evaluate SAP subcontractors, review their SOWs for scope, estimates, and assumptions, and hold them to quality and dates.
- Review their designs and deliverables, and translate between their work and our architecture.
- Build our SAP integration playbook: discovery templates, reference architectures, object catalogs, decision guides.
- Coach engineers and engagement leads until routine SAP questions don't need you.
- Track where SAP is heading (S/4 migrations, BTP, Business Data Cloud, API and licensing changes) and tell us what it means for our strategy.
- 10+ years with SAP, at least 5 in integration or technical architecture.
- Bachelor's or Master's degree in Computer Science, Engineering, or related fields.
- Hands-on depth in IDocs, BAPIs/RFCs, OData, CDS views, ODP/ODQ, and SLT, plus at least one middleware platform (PI/PO, CPI, or BTP).
- A working grasp of the supply chain data model in ECC and S/4HANA: MM, SD, PP, and WM or EWM, including key tables and document flows. You don't need to be a functional consultant, but you can hold your own with one.
- Experience getting SAP data into Snowflake, Databricks, Fabric, or a hyperscaler data lake.
- Solid footing in SAP security: roles, technical users, OAuth, principal propagation, and how they apply to third-party integrations.
- A record of scoping, contracting, and managing SAP subcontractors or SIs, including picking apart SOWs and estimates.
- The ability to run a workshop with a customer's SAP CoE, then explain the outcome plainly to engineers and executives who don't know SAP.
- Comfort with ambiguity. Much of the approach will be yours to work out.
Skills Required
- 10+ years of SAP experience, including at least 5 years in integration or technical architecture
- Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field
- Hands-on experience with IDocs, BAPIs/RFCs, OData, CDS views, ODP/ODQ, and SLT
- Experience with at least one SAP middleware platform: PI/PO, CPI, or BTP
- Working knowledge of SAP ECC and S/4HANA supply chain data models, including MM, SD, PP, and WM or EWM
- Experience integrating SAP data with Snowflake, Databricks, Fabric, or a hyperscaler data lake
- Knowledge of SAP security, including roles, technical users, OAuth, and principal propagation
- Experience scoping, contracting, and managing SAP subcontractors or systems integrators
- Ability to lead workshops with customer SAP centers of excellence and communicate outcomes to engineers and executives
- Comfort working through ambiguity and developing new approaches
What We Do
About Auger Auger is a pioneering venture to build the world's first true end-to-end supply chain operating system. Founded and led by Dave Clark, former CEO of the Amazon Consumer Business and backed by an initial $100M from Oak HC/FT, Auger is building a future where global supply chains operate with the simplicity of today’s most intuitive consumer technologies. Revolutionizing global supply chains with an AI-powered OS unifying data for seamless, real-time insights, and powerful automation. Our Solution Auger is creating a new solution for companies seeking better options. Auger’s core strength lies in its deep AI-powered automation, paired with a consumer-grade user experience. This combination allows operators to handle complex tasks through simple, familiar tools. Need real-time inventory insights for next week’s shipment? Just ask. Actionable data appears instantly, enabling swift decisions—no complex queries or training required. Why We’re Different Traditional supply chain management is fragmented, relying on incompatible systems and inefficient workarounds. Many companies are stuck with “Franken-software”—patched-together solutions that fail to communicate effectively. Auger is different. We integrate deeply with existing systems, use AI to automate routine processes, and deliver a cohesive user experience that feels intuitive and natural, letting your team focus on what matters: driving growth, innovation, and sustainability. A Human-Centered Approach Broken supply chains don’t just impact businesses—they affect people. Delays mean products don’t reach shelves, miscommunications lead to overtime and burnout, and inefficiencies drive up costs and contribute to a growing carbon footprint. We believe supply chain problems are human problems, and we’re here to solve them. At Auger, we’re on a mission to make global supply chains more efficient, more sustainable, and ultimately, better for everyone.


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